149 citations · 573 across the 30 of their papers we have counts for
6 papers · 1 filter
Cascading Bandits With Feedback
R Sri Prakash, Nikhil Karamchandani, Sharayu Moharir
Motivated by the challenges of edge inference, we study a variant of the cascade bandit model in which each arm corresponds to an inference model with an associated accuracy and er…
Observation-Free Attacks on Online Learning to Rank
Sameep Chattopadhyay, Nikhil Karamchandani, Sharayu Moharir
Online learning to rank (OLTR) plays a critical role in information retrieval and machine learning systems, with a wide range of applications in search engines and content recommen…
Best Arm Identification in Bandits with Limited Precision Sampling
Kota Srinivas Reddy, P. N. Karthik, Nikhil Karamchandani +1
We study best arm identification in a variant of the multi-armed bandit problem where the learner has limited precision in arm selection. The learner can only sample arms via certa…
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal +1
We study the problem of best-arm identification in a distributed variant of the multi-armed bandit setting, with a central learner and multiple agents. Each agent is associated wit…
Sequential Mode Estimation with Oracle Queries
Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani +1
We consider the problem of adaptively PAC-learning a probability distribution 's mode by querying an oracle for information about a sequence of i.i.d. samples $X_1, X_…
Randomized Kaczmarz for Rank Aggregation from Pairwise Comparisons
Vivek S. Borkar, Nikhil Karamchandani, Sharad Mirani
We revisit the problem of inferring the overall ranking among entities in the framework of Bradley-Terry-Luce (BTL) model, based on available empirical data on pairwise preferences…